Track Records: A Cautionary Tale

British Journal for the Philosophy of Science (forthcoming)
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Abstract

In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends up reducing overall accuracy, and preventing the community from identifying the real experts.

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Author's Profile

Alice C.W. Huang
University of Toronto, St. George Campus

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References found in this work

Experts: Which ones should you trust?Alvin I. Goldman - 2001 - Philosophy and Phenomenological Research 63 (1):85-110.
Probabilistic Opinion Pooling.Franz Dietrich & Christian List - 2016 - In Alan Hájek & Christopher Hitchcock (eds.), The Oxford Handbook of Probability and Philosophy. Oxford: Oxford University Press.

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